Minimum requirements:

• NQF Level 7 in computer science, Information Technology or related.
• 6 - 8 Years’ experience in the ICT Domain of which at least 4 should be focused on Data.
• Knowledge of programming languages like SQL, Python, Java, or R is valuable for manipulating and transforming data, as well as for scripting ETL processes.
• A solid understanding of data management principles, including data governance, data quality, data modelling, and data architecture, is essential. This includes knowledge of relational databases, data warehouses, data lakes, and ETL (Extract, Transform, Load) processes.
• Experience with data warehousing concepts and technologies is important for designing, implementing, and maintaining data integration solutions. This includes knowledge of dimensional modelling, star and snowflake schemas, and OLAP (Online Analytical Processing) techniques.
• Understanding of data security principles and compliance regulations (such as GDPR, HIPAA, or CCPA) is crucial to ensure that data integration processes adhere to legal and regulatory requirements.
• Experience with project management methodologies and tools can be beneficial for planning, executing, and monitoring data integration projects, ensuring they are completed on time and within budget.

Preferred

• Postgraduate Qualification in the Information Technology environment.
• Cloud Computing Certifications
• AWS Preferable/Cloud Computing
• Project management Skills
• Knowledge of the higher education sector
• Knowledge of SSSIS
• Knowledge of data warehousing 

Skills and Competencies

• Data Analysis
• Business Intelligence
• Data warehousing
• Data modelling
• Analytical skills
• Interpersonal skills
• Problem solving & decision-making skills.
• Report writing skills